Best Amazon Redshift Courses

Find the best online Amazon Redshift Courses for you. The courses are sorted based on popularity and user ratings. We do not allow paid placements in any of our rankings. We also have a separate page listing only the Free Amazon Redshift Courses.

Mastering Amazon Redshift 2021 Development & Administration

THE BEST Professional Amazon Redshift Training. Every NEW Redshift feature (even preview features) covered with labs.

Created by Siddharth Mehta - Enterprise Cloud Architect, Published Author, Cloud Geek


Students: 10144, Price: $99.99

Students: 10144, Price:  Paid

Amazon Redshift is one of the key big-data analytics related services in the Amazon Web Services technology stack. Redshift can handle thousands of Terabytes (petabyte) sized data in a clustered environment, and provides data warehouse as a service on Amazon Cloud platform. Redshift is one of the relatively easier services to learn for big data scale analytics - which means an easy gateway to your entry in the big data analytics world.

Most of the projects on Amazon cloud would host their data either in DynamoDB or RDS, but would eventually ship all their data in Redshift or EMR for analytics. Redshift is also a heavy-weight topic in AWS Certified Big Data Specialty exam. 

In this course, author and instructor Siddharth Mehta teaches A to Z of Redshift to an extent that you would master Redshift to a professional level. Course has a 20-80 weight on Theory-to-Labs. All the topics related to development, administration, performance tuning, operations and maintenance, real-world scenarios, and AWS exam related topics are covered in this course. All these topics are explained with professional quality architecture diagrams and crisp presentation, along with demos of all the labs covered in the course. After completing this course, you can confidently apply or pursue any Redshift related jobs / interviews.

To ensure everything is covered and students always remain updated with the latest Redshift updates, this course is regularly updated with each and every new update that Redshift keeps releasing. Check out the updates section at the bottom of the course which has updates right from 2018 till date.

Hands-on with Amazon Redshift

Large Scale Data Warehouse Design in the Cloud

Created by Infinite Skills - High Quality Training


Students: 5851, Price: $49.99

Students: 5851, Price:  Paid

In this Hands-on with Amazon Redshift training course, expert author Rich Morrow will teach you everything you need to know to be able to work with Redshift. This course is designed for the absolute beginner, meaning no previous knowledge of Amazon Redshift is required.

You will start with an introduction to the course, learning what a data warehouse is, the benefits of Redshift, and how Redshift compares to other analytics tools. From there, Rich will teach you the basics of Redshift, including data loading, data distribution concepts, and basic Redshift usage. Finally, this video tutorial will cover advanced topics, such as data loading best practices and tuning query performance. 

Once you have completed this computer based training course, you will have learned everything you need to know to get started with Amazon Redshift.

Hands-On Amazon Redshift for Data Warehousing

Leverage cutting-edge techniques to build data warehouses in the cloud

Created by Packt Publishing - Tech Knowledge in Motion


Students: 196, Price: $89.99

Students: 196, Price:  Paid

Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high-performance, column-oriented SQL engine. Amazon Redshift brings the power of scale-out architecture to the world of traditional data warehousing.

In this course, you will explore this low-cost, cloud-based storage, which can be scaled up or down to meet your true size and performance needs. You will learn to configure a sample data warehouse. Next, you will explore Redshift's internal workings and architecture, and learn what makes it so fast. You will get hands-on experience connecting, querying, and building BI and data viz products and learn how to secure, maintain, and administer your new platform.

By the end of this course, you will be able to scale from gigabytes to petabytes on this high-performance, column-oriented SQL engine.

About The Author

Colibri Digital is a technology consultancy company founded in 2015 by James and Ingrid Cross. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, machine learning, and cloud computing.

Over the past few years they have worked with some of the world's largest and most prestigious companies, including tier 1 investment banks, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.

At the frontier of AI, big data and cloud computing, we are Colibri Digital.

James Cross is a big data engineer and certified AWS Solutions architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge-scale streaming big data platforms, Cloud-based analytics stacks, and serverless architectures.

He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then, he's worked with a huge range of big data tools including most of the Hadoop eco-system, Spark, and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently, his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as a CTO, and more recently with Mckinsey.

James is an AWS-certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As the CTO of Scout Solutions Ltd, he built a fully serverless set of API's and an analytics stack based around Lambda and Redshift.